By use case · Firecrawl vs Parallel
Firecrawl vs Parallel AI pricing and Extract API compared for teams feeding LLMs
The short answer
Firecrawl and Parallel solve different halves of the same problem. Firecrawl starts from URLs and sites: it scrapes, crawls and maps them into markdown or JSON for 1 credit a page, which is $0.83 per 1,000 pages on the Standard plan billed yearly. Parallel starts from a question: its Search, Extract and Task APIs find, read and structure web content for an agent, billed per request, with Extract at $1 per 1,000 URLs and no crawl endpoint. Pick Firecrawl when you know which sites you need in full. Pick Parallel when the agent has to find the answer first. If you need typed fields from whole public sites, ClawEngine crawls and extracts to your schema from $99 a month for about 250,000 pages.
Clean markdown & JSON · JavaScript rendered · robots.txt respected
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Firecrawl and Parallel get compared because both sell themselves as the web layer for AI agents and both return markdown a model can read. They were built from opposite ends. Firecrawl began as a scraper: give it a URL or a domain and it renders the pages, walks the links and hands back clean content, with search added later. Parallel began as a search and research engine: give it an objective and it decides which pages matter, then returns excerpts, full text or structured fields with citations.
That difference decides the bill. Firecrawl meters pages, so a crawl of 100,000 known pages is easy to forecast and fits one plan. Parallel meters requests across six separate APIs, so the cost depends on which mix your agent calls: a cheap Extract fetch, a $5 per 1,000 search, or a Task run that can cost from $5 to $2,400 per 1,000. Every price on this page was read from the vendor pricing pages and documentation, not from a review aggregator.
If one vendor is already ahead, our Firecrawl pricing breakdown covers every credit rule, and Parallel API pricing per 1,000 requests walks through all six APIs. For the wider shortlist see Parallel AI alternatives, and if your budget is the deciding factor, a cheaper Firecrawl alternative works the numbers at volume.
Any URL in LLM-ready data out
robots.txt respected public data only
Why it works
Three things that decide Firecrawl vs Parallel
Do you know the URLs already?
If the job is a documentation site, a competitor catalog or a list of domains, you want a crawler that walks every page, and that is Firecrawl's home ground. Parallel Extract only fetches the URLs you pass it, so a full site means building the URL list first, usually with a sitemap or with paid searches.
Do you need passages or documents?
Parallel returns excerpts chosen against your objective unless you switch on full content, which is ideal when a model needs the paragraph that answers one question. Building a retrieval index is the opposite job. You want whole pages with stable structure, which is what a crawl API returns by default.
What does typed output cost you?
Both vendors charge extra for structure. Firecrawl adds 4 credits a page for JSON, and Parallel moves you from a $1 Extract call to a Task run that starts at $5 per 1,000. If typed records are the deliverable, price that line first, because it decides the plan more than the page count does.
What it handles
Any URL in, clean structured data out
Point ClawEngine at a public page and it crawls, renders the JavaScript and extracts clean markdown or typed JSON in one call. Define a schema for structured fields, and respect robots.txt and Terms of Service by default.
- Compares prices read firsthand from both vendors
- Explains credits against per-request billing
- Prices 100,000 pages a month on each
- Separates crawling from search and research
- Shows where each vendor clearly wins
- States plainly what ClawEngine does not do
{
"url": "https://example.com/products/atlas",
"title": "Atlas Field Notebook",
"markdown": "# Atlas Field Notebook\n\nDurable...",
"data": {
"name": "Atlas Field Notebook",
"price": 24.00,
"currency": "USD",
"rating": 4.7
},
"links": [ "/products", "/cart" ],
"metadata": { "rendered": true }
}
Head to head
Firecrawl vs Parallel AI side by side
Every Firecrawl and Parallel figure below was read from the vendor's own pricing page or documentation. ClawEngine is the third column, and it does not win every row.
Swipe to compare all columns →
| What you are comparing | Firecrawl | Parallel | ClawEngine |
|---|---|---|---|
| What it is | Scrape, crawl, map and search API that turns sites into markdown or JSON, open source under AGPL | Six web APIs for agents (Search, Extract, Task, Monitor, FindAll, Chat), proprietary | One API that crawls, renders JavaScript and extracts typed fields in a single call |
| Starts from | A URL or a domain you already know | A question or objective, or a list of URLs for Extract | A URL or a domain plus the schema you want back |
| Entry price | Hobby $16/mo billed yearly or $19 monthly for 5,000 credits | No subscription. Pay per request | $49/mo Hobby ($24/mo billed yearly) |
| Free usage | 1,000 credits a month | Up to 5,000 requests a month, $80 at signup plus $5 a month | No free plan |
| Page or URL fetch | 1 credit a page. $0.83 per 1,000 on Standard yearly, $0.60 on Scale | Extract at $1 per 1,000 URLs, excerpts by default or full content on request | $0.98 per 1,000 on Hobby, $0.40 on Startup, $0.27 on Scale |
| Whole-site crawl | Yes. Crawl and map endpoints walk the link graph | No crawl endpoint. Extract takes the URLs you give it | Yes, from a start URL with a page limit you set |
| Web search | 2 credits per 10 results, about $1.66 per 1,000 searches on Standard yearly | $1 per 1,000 on Turbo and Fast, $5 on Basic and Advanced, 10 results included | Not offered. We fetch sites you name |
| Typed or structured output | JSON format adds 4 credits, 5 per page in total | Task API from $5 per 1,000 (Lite) to $2,400 per 1,000 (Ultra8x), with citations | Schema extraction included from Startup, no surcharge per page |
| Monitoring | Change tracking on scrapes | Monitor API at $3 (Lite) or $10 (Base) per 1,000 requests | No monitor product. Rerun a crawl on your own schedule, with a completion webhook from Startup |
| Self-hosting | Yes, AGPL-3.0 code on GitHub | No | Private deployment on Enterprise |
| Best for | Turning known sites and docs into clean markdown for RAG | Agents that must research open questions and cite sources | Typed records from whole public sites at a flat per-page price |
| Main gotcha | Typed JSON costs five times the plain page rate, and 403 or 404 pages still bill | Six meters with different units, and URL discovery is your job before Extract | No search, no free plan, and defended sites are out of scope |
US list prices in USD. Firecrawl monthly billing is $19, $99, $399 and $749 for Hobby, Standard, Growth and Scale. Parallel prices are per request, not per token, and Search includes 10 results per request with extra results at $1 per 1,000.
Why ClawEngine
One API that crawls, renders and extracts
Not a raw HTML dump, not a headless browser fleet to run, and not a brittle parser to maintain. One call crawls a public page, renders its JavaScript and returns clean markdown or typed JSON, built for RAG pipelines and AI agents.
LLM-ready output
Clean markdown or typed JSON with the boilerplate stripped, so the data drops straight into a vector store, a prompt or an agent without a cleanup step.
JavaScript rendered
Each page loads in a real browser environment before extraction, so single-page apps and client-rendered content come back complete, not as an empty shell.
Compliance-first
ClawEngine works on public, permitted data only. It respects robots.txt and site Terms of Service and honors crawl-delay, so responsible scraping is the default.
Code examples
The crawl half of this job in one request
When the agent already knows which site it needs, there is no search step and no URL list to build. One call crawls from the start URL, renders JavaScript, respects robots.txt and returns one typed record per page.
curl https://clawengine.ai/v1/crawl \
-H "Authorization: Bearer $CLAWENGINE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"url": "https://docs.example.com",
"limit": 25,
"render": true,
"format": "structured",
"schema": {
"title": "string",
"section": "string",
"summary": "string",
"code_languages": "string[]",
"last_updated": "string"
}
}'
# No search step and no URL list to assemble first.
# Each page comes back as one record in your schema;
# start further crawls from deeper sections for a larger site.
People also ask
Firecrawl vs Parallel AI, the questions buyers ask
Is Parallel better than Firecrawl?
For research, often yes. Parallel ranks and excerpts pages against an objective and its Task API returns cited, structured answers, which Firecrawl does not try to do. For collecting whole sites, no. Firecrawl crawls and maps domains, while Parallel Extract only reads the URLs you give it. Choose by whether your agent starts from a question or from a list of sites.
Is Parallel cheaper than Firecrawl?
For plain page fetches they are close. Parallel Extract is $1 per 1,000 URLs, and Firecrawl is $0.83 per 1,000 pages on Standard billed yearly or $0.99 monthly. Parallel is cheaper for search on Turbo at $1 per 1,000 against about $1.66 on Firecrawl Standard, and cheaper at low volume because it has no subscription and 5,000 free requests a month.
Is Parallel Extract API better than Firecrawl for extraction?
It is better at pulling the relevant passage. Extract returns excerpts aligned to an objective, handles JavaScript and PDFs, and costs $1 per 1,000 URLs. Firecrawl is better at extracting a whole site into a fixed shape, because its crawl walks every page and its JSON format applies one schema to each, at 5 credits a page.
Does Parallel Extract have focused excerpts that Firecrawl lacks?
Yes. Parallel Extract returns excerpts chosen against the objective you send, and full content is optional. Firecrawl returns the whole cleaned page as markdown, or the fields your JSON schema asks for, but it does not rank passages inside a page against a question. If you only need the answer paragraph, excerpts cut tokens before the model sees them.
Is Parallel a good Firecrawl alternative for RAG pipelines?
For question-time retrieval, yes, since excerpts with citations slot straight into a prompt. For building the knowledge base itself, usually not. A RAG index needs complete pages from known sites, refreshed on a schedule, and Parallel has no crawl endpoint. Most teams index with a crawler and use a search API only for questions the index cannot answer.
How much does Parallel Extract cost compared with Firecrawl for high-volume extraction?
At 100,000 pages a month, Parallel Extract is about $95 after the 5,000 free requests, and Firecrawl plain markdown fits Standard at $83 billed yearly. Typed output moves both: Firecrawl JSON needs 500,000 credits, which is Growth at $333 yearly, and Parallel Task runs start at $500 per 100,000 on Lite. ClawEngine does typed extraction on 100,000 pages within Startup at $99.
Can Parallel crawl a whole website like Firecrawl?
No. Parallel has no crawl or map endpoint. Extract reads the URLs you pass in, and FindAll builds lists of entities rather than walking one site. To cover a full domain you supply the URL list yourself, from a sitemap or from searches. Firecrawl, like ClawEngine, discovers pages by following links from a start URL within the limits you set.
How much does Firecrawl cost?
Firecrawl has a free tier of 1,000 credits a month, then Hobby at $16 a month for 5,000 credits, Standard at $83 for 100,000, Growth at $333 for 500,000 and Scale at $599 for 1,000,000 on yearly billing, or $19, $99, $399 and $749 billed monthly. A plain page is 1 credit, JSON output 5 and a search 2 credits per 10 results.
How much does Parallel AI cost?
Parallel bills per request with no subscription. Search is $1 per 1,000 on Turbo and Fast or $5 on Basic and Advanced, Extract $1 per 1,000 URLs, Task $5 to $2,400 per 1,000 by processor, Monitor $3 or $10 per 1,000, and FindAll from $0.25 per run plus $0.03 per match on Base. The first 5,000 requests a month are free.
What is a good alternative to Firecrawl and Parallel?
It depends on the half you are replacing. For search and research, Exa and Tavily are the closest to Parallel. For crawling known sites into markdown, Jina Reader and Crawl4AI compete with Firecrawl. If the output you need is typed records from whole public sites, ClawEngine crawls and extracts to your schema at a flat per-page price.
Good questions
Questions about Firecrawl vs Parallel
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Point ClawEngine at a public page and one call crawls, renders the JavaScript and extracts clean markdown or typed JSON, ready for your RAG pipeline or AI agent. Public, permitted data only.
Crawl · render JS · extract markdown & JSON · robots.txt respected, public data only